Gaussian Processes Demystified
A Practical Guide to Semi-Supervised Learning in AI and Machine Learning
Struggling to bridge the gap between theory and practice in advanced machine learning? Gaussian Processes often appear as a black box, leaving you uncertain about their real-world applications. This book cuts through the complexity, offering a clear path to mastering Gaussian Processes in the context of Semi-Supervised Learning. You'll discover how to harness the power of Gaussian Processes to solve real-world problems with limited labeled data. Through practical examples and hands-on exercises, you'll learn to implement these sophisticated techniques in your AI and machine learning projects with confidence. By the end of this journey, you'll possess the skills to leverage Gaussian Processes in Semi-Supervised Learning scenarios, opening up new possibilities in your data science career. Get ready to elevate your machine learning expertise and tackle complex problems with newfound clarity and precision.
Est. Length
300 pages (16 chapters)
Language
English
Publication date
Dec 29, 2024
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